Principal Agent Experience Designer

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Agent Experience Designer based in United States. This is a pioneering principal-level design role focused on defining how AI agents interact with, navigate, and operate complex enterprise software. You will help establish a new Agentic Experience (AX) discipline that extends beyond traditional human-centered UX and human-agent collaboration. The role combines systems thinking, semantic architecture, AI interaction design, reliability, observability, and human oversight. You will design the machine-operable foundations that allow agents to execute workflows safely, reliably, transparently, and cost-effectively. Working across Product, Engineering, AI/ML, and Research, you will influence product strategy and establish standards for agent-ready experiences. You will also mentor designers and help organizations transition from interface-focused design toward process, system, and agent-oriented thinking. This is an opportunity to shape the design principles, artifacts, and operating models of an emerging AI-native product discipline.
• Accountabilities: Define and design the machine-operable interface layer that enables AI agents to interact reliably with internal tools, external systems, APIs, and other agents. Invent and establish new AX design artifacts, specifications, governance frameworks, operation contracts, behavioral policies, trust specifications, and evaluation criteria. Own the end-to-end AX design lifecycle across modeling, contracting, constraining, observing, validating, running, learning, and versioning. Establish operability gates for agent workflows, including determinism, safety, observability, recoverability, auditability, and cost awareness. Develop evaluation frameworks such as golden tasks, regression suites, and adversarial scenarios to validate agent capabilities and control version changes. Design experiences across interactive, supervised, and fully autonomous operating modes, determining appropriate levels of human oversight according to risk and operational context. Create dual-layer journey maps that represent human experiences and agent operations in parallel, identifying delegation points, oversight touchpoints, and handoff requirements. Define trust and delegation models that clarify when humans interact directly, supervise AI activity, or allow agents to operate autonomously. Champion dual legibility so platform elements are understandable to humans while remaining interpretable and actionable by AI agents. Influence product vision and organizational strategy around agent readiness, AI-native design, and the evolution from UX and UAX toward AX. Establish AX design standards, reusable patterns, best practices, and governance approaches across the broader product development organization. Contribute to the evolution of the design system by defining agent-facing components, semantic structures, machine-readable elements, and observability surfaces. Partner with Product Management, Engineering, AI/ML, Research, and other stakeholders to ensure agent-oriented designs are technically viable and aligned with product strategy. Mentor and guide designers developing expertise in semantic architecture, process modeling, exception handling, agent workflows, and systems-oriented design. Help drive the transition from empathy-first interface design toward precision-first approaches centered on process analysis, semantic architecture, and system optimization. Requirements: 7+ years of experience in UX, Product Design, or a related design discipline, with demonstrated progression toward principal-level systems and strategic design work. Proven experience designing complex B2B SaaS, enterprise software, platform, or similarly sophisticated products. Strong foundation in systems thinking, information architecture, semantic design, and conceptual modeling, with the ability to design structure and logic rather than interfaces alone. Experience developing operating models, conceptual frameworks, and system-level design solutions. Experience leading cross-functional initiatives involving Product, Engineering, AI/ML, Research, and other technical stakeholders. Full understanding of the product design lifecycle, including research, ideation, prototyping, testing, iteration, and delivery within Agile environments. Advanced proficiency with modern design and AI-assisted development tools, including Figma, Figma Make, Cursor, Claude Code, and Codex. Deep knowledge of agentic logic and orchestration, including LLM interaction patterns such as ReAct and Chain-of-Thought, state machines, tool-use contracts, and autonomous workflows. Experience designing for non-deterministic systems, including graceful failure states, AI hallucination scenarios, tool-call errors, handoff protocols, recovery paths, and exception management. Strong expertise in semantic modeling and machine-legible information architecture, including concepts relevant to vector embeddings, RAG, typed schemas, and machine-readable structures. Ability to design across interactive, supervised, and autonomous operating models while incorporating observability, auditability, safety, and cost considerations. Comfortable working with technical artifacts such as API documentation, JSON structures, capability contracts, and system specifications alongside traditional design tools. Excellent verbal and written communication skills, with the ability to explain complex agent-system interactions to both technical and non-technical audiences. Fluent English communication skills. Experience with low-code platforms, software development processes, IDE design, process engineering, service design, operations design, API design, developer experience, or human-AI collaboration is a strong advantage. Experience designing for trust, delegation, human-AI collaboration, and autonomous workflows is highly desirable. Benefits: Fully remote position within the United States. Opportunity to pioneer and define an emerging Agentic Experience design discipline. Work at the intersection of enterprise software, AI agents, UX, systems design, and human-AI collaboration. Real opportunities for professional growth through structured development programs and specialized AI learning. Access to professional development funding and internal mobility opportunities. Collaboration with a global community of experienced enterprise software, AI, product, and design professionals. Opportunities to influence product strategy and organizational design standards at a global scale. Inclusive culture that values trust, innovation, customer success, alignment, experimentation, and diverse perspectives. Opportunity to work on enterprise AI solutions used across numerous industries and international markets. Equal opportunity workplace committed to supporting employees from diverse backgrounds.
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